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NVIDIA A100 8x80GB Baseboard

Price range: 10€ through 100€

(excl. TAX)

Delivery is made within 14-21 days

Pricing for

Nvidia

NVIDIA A100 8×80GB Baseboard. 8×A100 80GB SXM—balanced training/inference pod with NVSwitch. Direct import, official warranty, crated shipping, 7–10-day delivery.

Product description

8×NVIDIA A100 80GB SXM GPU Baseboard: Ultimate Power for AI and HPC

8×NVIDIA A100 SXM 80GB GPU Baseboard is a high-density compute module that integrates eight NVIDIA A100 GPUs with 80 GB of HBM2e memory each — providing a total of 640 GB of ultra-fast memory and immense computational throughput for artificial intelligence, data analytics, and high-performance computing (HPC) workloads.

Unlike traditional PCIe configurations, GPUs within this baseboard are interconnected via NVLink and NVSwitch, enabling direct high-bandwidth communication between all eight accelerators. This design allows them to operate as a unified system, eliminating PCIe bottlenecks and maximizing parallel efficiency for the most demanding AI and scientific applications.

Specifications

  • Total GPU Memory: 640 GB HBM2e
  • Memory per GPU: 80 GB HBM2e
  • GPU Count: 8× NVIDIA A100 (SXM4 form factor)
  • Memory Bandwidth: up to 2 TB/s per GPU
  • GPU Interconnect: NVLink with NVSwitch — up to 600 GB/s per link
  • Architecture: NVIDIA Ampere
  • Interface: PCIe Gen4 (integration-ready baseboard)
  • Cooling: Passive, optimized for rack-mounted servers

Key Advantages

  • Unified GPU architecture. NVSwitch connects all GPUs into a single compute matrix — essential for LLM training and generative AI workloads.
  • Extreme performance and reliability. Up to 2 TB/s memory bandwidth and hundreds of GB/s inter-GPU throughput ensure consistent scalability.
  • Infrastructure efficiency. Shared power and cooling systems reduce total energy consumption and simplify deployment.
  • Seamless scalability. Multiple baseboards can be interconnected to form full AI clusters for large-scale model training or HPC tasks.

Applications

  • Large Language Models (LLMs). Training and inference of GPT, DeepSeek, Qwen, Mistral, and other advanced architectures.
  • HPC Simulations. Molecular modeling, energy research, CFD, and climate simulation workloads.
  • Data Centers. High-density GPU racks and cloud compute environments.
  • Generative AI. Training multimodal and complex generative systems with high data throughput.

Why Choose 8×NVIDIA A100 80GB SXM Baseboard

  • Eight A100 GPUs in one module — delivering supercomputer-class performance.
  • Higher efficiency and bandwidth compared to eight separate PCIe GPUs, thanks to NVLink/NVSwitch.
  • Reduced setup time and operational overhead for heavy AI and HPC workloads.
  • OEM baseboard offers DGX-class architecture at a lower infrastructure cost.

8×NVIDIA A100 SXM 80GB GPU Baseboard is a foundational building block for modern data centers and AI clusters. It provides unmatched performance, scalability, and efficiency — an ideal solution for enterprises and research institutions advancing large-scale AI, simulation, and scientific computing projects.

Additional information

Weight 1,8 kg
Dimensions 26,7 × 11,1 cm
Country of manufacture

Taiwan

Manufacturer's warranty (years)

1

Model

NVIDIA A100

Cache L2 (MB)

40

Process technology (nm)

4

Memory type

HBM2e

Graphics Processing Unit (Chip)

Number of CUDA cores

6912

Number of Tensor cores

432

Video memory size (GB)

80

Memory frequency (MHz)

16000

Memory bus width (bits)

5120

Memory Bandwidth (GB/s)

2039

Connection interface (PCIe)

PCIe 5.0 x16

FP16 performance (TFLOPS)

312

FP32 performance (TFLOPS)

156

FP64 performance (TFLOPS)

9.7

Cooling type

Passive (server module)

Number of occupied slots (pcs)

8

Length (cm)

26.7

Width (cm)

11.1

Weight (kg)

1.8

Temperature range (°C)

0–85

Multi-GPU support

Yes (NVSwitch)

Virtualization/MIG support

MIG (up to 7 instances)

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